VS265: Slides: Difference between revisions
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==== Nov 20 ==== | ==== Nov 20 ==== | ||
* Probabilistic Models [http://redwood.berkeley.edu/vs265/prob-models- | * Probabilistic Models [http://redwood.berkeley.edu/vs265/prob-models-lecture.pdf slides] | ||
* [https://archive.org/details/VS265-Fall14-Nov20 video] | * [https://archive.org/details/VS265-Fall14-Nov20 video] | ||
==== Nov 25 ==== | ==== Nov 25 ==== | ||
* Boltzmann machine slides | * Boltzmann machine slides | ||
Revision as of 23:16, 25 November 2014
28 Aug
4 Sept
- Neuron models, membrane equation video
11 Sept
- Paul Rhodes guest lecture video
16 Sept
- Perceptron model video
18 Sept
- Supervised learning
- Neural Networks Followup video
23,25 Sept
Sep 30, Oct 2
Oct 7
Oct 9
Oct 14
Oct 16
Oct 21,23,28
- Sparse coding slides
- Oct23rd video
- Oct28th video
Oct 30, Nov. 4, 6
- Oct30 Video
- Nov4 Video
- Nov6 Video
- Nov 13 Video
- Self-organizing maps
- Manifold models
- (an aside on adaptation)
Nov 18
- Recurrent networks - Guy Isely slides, Brian Cheung slides
- video
Nov 20
Nov 25
- Boltzmann machine slides
